{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.复习上课内容"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 贝叶斯分类器\n",
    "- 垃圾邮件的鉴别\n",
    "- 贝叶斯法则公式\n",
    "    $$ P(A|B) = \\frac{P(A|B)}{P(B)} = \\frac{P(B|A)P(A)}{P(B)}$$ \n",
    "- 全概率公式\n",
    "    $$ P(A) = \\sum{P(A|B_i)P(B_i)}$$\n",
    "\n",
    "## K-means\n",
    "- 无监督聚类\n",
    "- 开始先随机选取K个类别，然后计算其他每个点到这K个点的距离，把近的点归为一类，然后重新计算这K个类别点中心点。然后反复重复上述操作，直至上述点不再更新\n",
    "\n",
    "\n",
    "## SVM\n",
    "- 数学\n",
    "- 是一种二分类模型，基本模型是定义在特征空间上的间隔最大的线性分类器，其基本想法是求解能够正确划分训练数据集并且几何间隔最大的分离超平面。\n",
    "\n",
    "\n",
    "## Ensemble learning 集成学习\n",
    "- 人多力量大\n",
    "- Bagging:少数服从多数\n",
    "- boosting：一开始权重一样，通过数据是否判断正确，如果判断错误，权重升高，判断正确，权重降低，通过预测值不断迭代权重。每次学完就会去看这个算法对数据的影响，下一个算法通过权重修改，希望对错误对数据有更多关注\n",
    "- 随机森林：多个树，每个树对样本都有一个判断。使用Bootstrap进行采样\n",
    "- XGboost：回归树，结果是数值，不是类别\n",
    "也是通过构建树，需要计算残差。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 回答一下理论题目"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. What is independent assumption in Naive bayes ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "假设事件发生的概率之间是相互独立的 ；朴素：独立假设 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. What is MAP(maximum a posterior) and ML(maximum likelihood) ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**MAP:** 最大化后验概率，在给定一系列数据时，从这些数据中选择出最有可能的数据。\n",
    "\n",
    "h: hypothesis space{f},所有可能的函数,每个函数对应一个预测值，如果f是线性的，则该含义就是从所有线性函数中选择一条线性函数出来。\n",
    "D:数据集,因为数据集是固定的，所以P(D)是一个常数，分母可以去掉。\n",
    "$$h_{MAP} = argmaxP(h|D)=argmax\\frac{P(D|h)P(h)}{P(D)}=argmaxP(D|h)P(h)$$\n",
    "\n",
    "**ML：** 最大化期望值\n",
    "p(h)是指函数发生可能的假设概率。如果P(h)是一个常数，就是指h是一样的，没有任何偏好，无差别的，这是就可以进一步化简上面的公式，这就是最大化期望值\n",
    "$$h_{ML} = argmaxP(D|h)P(h)$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. What is support vector in SVM?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 支持向量是指虚线边界上的点\n",
    "- 距离超平面最近的点称为支持向量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. What is the intuition behind SVM ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 使所有点之间间距最大化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. Shortly describ what 'random' means in random forest ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用随机森林训练数据时，需要进行随机采样，这样可以保证训练数据之间的差异化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6. What cariterion does XGBoost use to find the best split point in a tree ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "重点：寻找最优化分点\n",
    "1. 用什么划分\n",
    "2. 该不该划分\n",
    "目标函数： $$Obj=\\sum_{i=1}^{n}l(y_i, \\hat y_i) + \\sum_{k=1}^{K}\\Omega(f_k) $$\n",
    "\n",
    "其中"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "l: 是指损失函数,判断预测值和真实值之间的差别，可以用交叉熵等\n",
    "Ω: 正则化，是一个惩罚项，让树不要太深，因为太深可能分的过细"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$Ω(f_t)=\\gamma^T+\\frac{1}{2}\\lambda \\sum_{j=1}^{T} w_j^2$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "𝑤:每个叶子的权重\n",
    "𝛾：惩罚系数\n",
    "T: 叶子数量"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Practial part"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Problem description: In this part you are going to build a classifier to detect if a piece of news is published by the Xinhua news agency (新华社）."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 问题分析\n",
    "1. 2分类问题\n",
    "2. 机器学习算法，SVM\\随机森林\\逻辑回归\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Hints:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### 1. Firstly, you have to come up with a way to represent the news. (Vectorize the sentence, you can find different ways to do so online)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 工具包导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting gensim\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/70/cf/87b25b265d23498b2b70ce873495cf7ef91394c4baff240210e26f3bc18a/gensim-3.8.3-cp37-cp37m-macosx_10_9_x86_64.whl (24.2MB)\n",
      "\u001b[K    100% |████████████████████████████████| 24.2MB 20kB/s ta 0:00:0104\n",
      "\u001b[?25hRequirement already satisfied: scipy>=0.18.1 in /Users/stone/anaconda3/lib/python3.7/site-packages (from gensim) (1.2.1)\n",
      "Requirement already satisfied: six>=1.5.0 in /Users/stone/anaconda3/lib/python3.7/site-packages (from gensim) (1.12.0)\n",
      "Requirement already satisfied: numpy>=1.11.3 in /Users/stone/anaconda3/lib/python3.7/site-packages (from gensim) (1.16.2)\n",
      "Collecting smart-open>=1.8.1 (from gensim)\n",
      "\u001b[33m  Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)\")': /simple/smart-open/\u001b[0m\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/74/77/744c79da6e66691e3500b6dffff29bdd787015eae817d594791edc7b719b/smart_open-2.0.0.tar.gz (103kB)\n",
      "\u001b[K    100% |████████████████████████████████| 112kB 22kB/s ta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: requests in /Users/stone/anaconda3/lib/python3.7/site-packages (from smart-open>=1.8.1->gensim) (2.21.0)\n",
      "Requirement already satisfied: boto in /Users/stone/anaconda3/lib/python3.7/site-packages (from smart-open>=1.8.1->gensim) (2.49.0)\n",
      "Collecting boto3 (from smart-open>=1.8.1->gensim)\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/19/6e/806c8171a4a293bde1ba0fcfd8d3e73093b90b160561739a0e79548d4275/boto3-1.13.11-py2.py3-none-any.whl (128kB)\n",
      "\u001b[K    100% |████████████████████████████████| 133kB 11kB/s ta 0:00:0103\n",
      "\u001b[?25hRequirement already satisfied: idna<2.9,>=2.5 in /Users/stone/anaconda3/lib/python3.7/site-packages (from requests->smart-open>=1.8.1->gensim) (2.8)\n",
      "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /Users/stone/anaconda3/lib/python3.7/site-packages (from requests->smart-open>=1.8.1->gensim) (1.24.1)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /Users/stone/anaconda3/lib/python3.7/site-packages (from requests->smart-open>=1.8.1->gensim) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /Users/stone/anaconda3/lib/python3.7/site-packages (from requests->smart-open>=1.8.1->gensim) (2019.11.28)\n",
      "Collecting jmespath<1.0.0,>=0.7.1 (from boto3->smart-open>=1.8.1->gensim)\n",
      "  Downloading https://files.pythonhosted.org/packages/07/cb/5f001272b6faeb23c1c9e0acc04d48eaaf5c862c17709d20e3469c6e0139/jmespath-0.10.0-py2.py3-none-any.whl\n",
      "Collecting botocore<1.17.0,>=1.16.11 (from boto3->smart-open>=1.8.1->gensim)\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/b0/4c/36f5203d7c9a7a9c25fc8185db523483168e44363fe9bc6e757533163b5e/botocore-1.16.11-py2.py3-none-any.whl (6.2MB)\n",
      "\u001b[K    100% |████████████████████████████████| 6.2MB 15kB/s ta 0:00:012\n",
      "\u001b[?25hCollecting s3transfer<0.4.0,>=0.3.0 (from boto3->smart-open>=1.8.1->gensim)\n",
      "\u001b[33m  Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)\")': /simple/s3transfer/\u001b[0m\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/69/79/e6afb3d8b0b4e96cefbdc690f741d7dd24547ff1f94240c997a26fa908d3/s3transfer-0.3.3-py2.py3-none-any.whl (69kB)\n",
      "\u001b[K    100% |████████████████████████████████| 71kB 6.5kB/s ta 0:00:02\n",
      "\u001b[?25hRequirement already satisfied: python-dateutil<3.0.0,>=2.1 in /Users/stone/anaconda3/lib/python3.7/site-packages (from botocore<1.17.0,>=1.16.11->boto3->smart-open>=1.8.1->gensim) (2.8.0)\n",
      "Requirement already satisfied: docutils<0.16,>=0.10 in /Users/stone/anaconda3/lib/python3.7/site-packages (from botocore<1.17.0,>=1.16.11->boto3->smart-open>=1.8.1->gensim) (0.14)\n",
      "Building wheels for collected packages: smart-open\n",
      "  Building wheel for smart-open (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /Users/stone/Library/Caches/pip/wheels/27/65/38/8d7f5fe8d7afb4e4566587b2d1933cec185fba19257836c943\n",
      "Successfully built smart-open\n",
      "Installing collected packages: jmespath, botocore, s3transfer, boto3, smart-open, gensim\n",
      "Successfully installed boto3-1.13.11 botocore-1.16.11 gensim-3.8.3 jmespath-0.10.0 s3transfer-0.3.3 smart-open-2.0.0\n"
     ]
    }
   ],
   "source": [
    "!pip install gensim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting xgboost\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/36/a5/703d93321f57048596217789be7c186304a33aff5b1c48c89597a546c65e/xgboost-1.0.2.tar.gz (821kB)\n",
      "\u001b[K    100% |████████████████████████████████| 829kB 18kB/s ta 0:00:0184\n",
      "\u001b[?25hRequirement already satisfied: numpy in /Users/stone/anaconda3/lib/python3.7/site-packages (from xgboost) (1.16.2)\n",
      "Requirement already satisfied: scipy in /Users/stone/anaconda3/lib/python3.7/site-packages (from xgboost) (1.2.1)\n",
      "Building wheels for collected packages: xgboost\n",
      "  Building wheel for xgboost (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /Users/stone/Library/Caches/pip/wheels/2d/88/a6/eae5e2f880d228c2e8c057a2b166a05306f41e1ceaa2a01b45\n",
      "Successfully built xgboost\n",
      "Installing collected packages: xgboost\n",
      "Successfully installed xgboost-1.0.2\n"
     ]
    }
   ],
   "source": [
    "!pip install xgboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/stone/anaconda3/lib/python3.7/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
      "  defaults = yaml.load(f)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from joblib import Parallel,delayed # 多进程处理\n",
    "import time\n",
    "import jieba\n",
    "import re\n",
    "\n",
    "from gensim.models import FastText # 词向量\n",
    "from gensim.models import doc2vec # 生成文本向量\n",
    "\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from xgboost.sklearn import XGBClassifier\n",
    "\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"xinhua_news.csv\", encoding=\"gb18030\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>author</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>89617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...</td>\n",
       "      <td>{\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"37\"...</td>\n",
       "      <td>小米MIUI 9首批机型曝光：共计15款</td>\n",
       "      <td>http://www.cnbeta.com/articles/tech/623597.htm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>89616</td>\n",
       "      <td>NaN</td>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...</td>\n",
       "      <td>{\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"15\"...</td>\n",
       "      <td>骁龙835在Windows 10上的性能表现有望改善</td>\n",
       "      <td>http://www.cnbeta.com/articles/tech/623599.htm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>89615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...</td>\n",
       "      <td>{\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"18\"...</td>\n",
       "      <td>一加手机5细节曝光：3300mAh、充半小时用1天</td>\n",
       "      <td>http://www.cnbeta.com/articles/tech/623601.htm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>89614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>新华社</td>\n",
       "      <td>这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n</td>\n",
       "      <td>{\"type\":\"国际新闻\",\"site\":\"环球\",\"commentNum\":\"0\",\"j...</td>\n",
       "      <td>葡森林火灾造成至少62人死亡 政府宣布进入紧急状态（组图）</td>\n",
       "      <td>http://world.huanqiu.com/hot/2017-06/10866126....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89613</td>\n",
       "      <td>胡淑丽_MN7479</td>\n",
       "      <td>深圳大件事</td>\n",
       "      <td>（原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...</td>\n",
       "      <td>{\"type\":\"新闻\",\"site\":\"网易热门\",\"commentNum\":\"978\",...</td>\n",
       "      <td>44岁女子约网友被拒暴雨中裸奔 交警为其披衣相随</td>\n",
       "      <td>http://news.163.com/17/0618/00/CN617P3Q0001875...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>89612</td>\n",
       "      <td>张怡</td>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...</td>\n",
       "      <td>{\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>金融股一枝独秀 配置价值犹存</td>\n",
       "      <td>http://www.cs.com.cn/gppd/201706/t20170623_533...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>89611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>威锋网@http://www.feng.com/</td>\n",
       "      <td>虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...</td>\n",
       "      <td>{\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"21\"...</td>\n",
       "      <td>配骁龙660 全面屏鼻祖夏普新机酝酿中</td>\n",
       "      <td>http://www.cnbeta.com/articles/tech/623603.htm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>89610</td>\n",
       "      <td>申玉彬 整理</td>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...</td>\n",
       "      <td>{\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>博友早评：震荡有利消化套牢筹码</td>\n",
       "      <td>http://www.cs.com.cn/gppd/201706/t20170623_533...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>89609</td>\n",
       "      <td>李杭_BJS4645</td>\n",
       "      <td>荆楚网-楚天都市报</td>\n",
       "      <td>（原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...</td>\n",
       "      <td>{\"type\":\"新闻\",\"site\":\"网易热门\",\"commentNum\":\"1600\"...</td>\n",
       "      <td>武汉千余警察出动 抓获808名俊男靓女全是诈骗犯</td>\n",
       "      <td>http://news.163.com/17/0614/14/CMT9N8G80001899...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>89608</td>\n",
       "      <td>吴瞬</td>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...</td>\n",
       "      <td>{\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>纳入MSCI指数 A股长期配置价值提升</td>\n",
       "      <td>http://www.cs.com.cn/gppd/201706/t20170623_533...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id      author                    source  \\\n",
       "0  89617         NaN    快科技@http://www.kkj.cn/   \n",
       "1  89616         NaN    快科技@http://www.kkj.cn/   \n",
       "2  89615         NaN    快科技@http://www.kkj.cn/   \n",
       "3  89614         NaN                       新华社   \n",
       "4  89613  胡淑丽_MN7479                     深圳大件事   \n",
       "5  89612          张怡                 中国证券报?中证网   \n",
       "6  89611         NaN  威锋网@http://www.feng.com/   \n",
       "7  89610      申玉彬 整理                 中国证券报?中证网   \n",
       "8  89609  李杭_BJS4645                 荆楚网-楚天都市报   \n",
       "9  89608          吴瞬                 中国证券报?中证网   \n",
       "\n",
       "                                             content  \\\n",
       "0  此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...   \n",
       "1  骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...   \n",
       "2  此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...   \n",
       "3    这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n   \n",
       "4  （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...   \n",
       "5  　　受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...   \n",
       "6  虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...   \n",
       "7  　　沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...   \n",
       "8  （原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...   \n",
       "9  　　6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...   \n",
       "\n",
       "                                             feature  \\\n",
       "0  {\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"37\"...   \n",
       "1  {\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"15\"...   \n",
       "2  {\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"18\"...   \n",
       "3  {\"type\":\"国际新闻\",\"site\":\"环球\",\"commentNum\":\"0\",\"j...   \n",
       "4  {\"type\":\"新闻\",\"site\":\"网易热门\",\"commentNum\":\"978\",...   \n",
       "5  {\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...   \n",
       "6  {\"type\":\"科技\",\"site\":\"cnbeta\",\"commentNum\":\"21\"...   \n",
       "7  {\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...   \n",
       "8  {\"type\":\"新闻\",\"site\":\"网易热门\",\"commentNum\":\"1600\"...   \n",
       "9  {\"type\":\"市场\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...   \n",
       "\n",
       "                           title  \\\n",
       "0           小米MIUI 9首批机型曝光：共计15款   \n",
       "1     骁龙835在Windows 10上的性能表现有望改善   \n",
       "2      一加手机5细节曝光：3300mAh、充半小时用1天   \n",
       "3  葡森林火灾造成至少62人死亡 政府宣布进入紧急状态（组图）   \n",
       "4       44岁女子约网友被拒暴雨中裸奔 交警为其披衣相随   \n",
       "5                 金融股一枝独秀 配置价值犹存   \n",
       "6            配骁龙660 全面屏鼻祖夏普新机酝酿中   \n",
       "7                博友早评：震荡有利消化套牢筹码   \n",
       "8       武汉千余警察出动 抓获808名俊男靓女全是诈骗犯   \n",
       "9            纳入MSCI指数 A股长期配置价值提升   \n",
       "\n",
       "                                                 url  \n",
       "0     http://www.cnbeta.com/articles/tech/623597.htm  \n",
       "1     http://www.cnbeta.com/articles/tech/623599.htm  \n",
       "2     http://www.cnbeta.com/articles/tech/623601.htm  \n",
       "3  http://world.huanqiu.com/hot/2017-06/10866126....  \n",
       "4  http://news.163.com/17/0618/00/CN617P3Q0001875...  \n",
       "5  http://www.cs.com.cn/gppd/201706/t20170623_533...  \n",
       "6     http://www.cnbeta.com/articles/tech/623603.htm  \n",
       "7  http://www.cs.com.cn/gppd/201706/t20170623_533...  \n",
       "8  http://news.163.com/17/0614/14/CMT9N8G80001899...  \n",
       "9  http://www.cs.com.cn/gppd/201706/t20170623_533...  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'author', 'source', 'content', 'feature', 'title', 'url'], dtype='object')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                     89593\n",
       "author                                             屠震林 PS040\n",
       "source                                                  凤凰体育\n",
       "content    北京时间6月20日，江苏苏宁足球俱乐部发布了足协杯第四轮江苏苏宁易购队主场对阵河南建业队的官...\n",
       "feature    {\"type\":\"体育\",\"site\":\"凤凰\",\"commentNum\":\"1\",\"joi...\n",
       "title                              “齐心协力”--江苏苏宁发布足协杯对阵河南建业海报\n",
       "url        http://sports.ifeng.com/a/20170620/51284188_0....\n",
       "Name: 24, dtype: object"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[24]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    }
   ],
   "source": [
    "print(type(data['source']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(['author', 'url'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2557"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['content'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['source'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>89609</td>\n",
       "      <td>87054</td>\n",
       "      <td>89611</td>\n",
       "      <td>89577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>974</td>\n",
       "      <td>74917</td>\n",
       "      <td>89184</td>\n",
       "      <td>85253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"commentNum\":\"2\",\"forwardNum\":\"7\",\"playNum\":\"...</td>\n",
       "      <td>国际重要稿件预告</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>78661</td>\n",
       "      <td>177</td>\n",
       "      <td>3</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       source content                                            feature  \\\n",
       "count   89609   87054                                              89611   \n",
       "unique    974   74917                                              89184   \n",
       "top       新华社    \\n\\n  {\"commentNum\":\"2\",\"forwardNum\":\"7\",\"playNum\":\"...   \n",
       "freq    78661     177                                                  3   \n",
       "\n",
       "           title  \n",
       "count      89577  \n",
       "unique     85253  \n",
       "top     国际重要稿件预告  \n",
       "freq         219  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看特征统计\n",
    "data.describe(include='O')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11315</th>\n",
       "      <td>78297</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>广州青岛调控加码：不动产证满两年方可交易</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12294</th>\n",
       "      <td>77318</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>河北雄安新区来了！你想知道的都在这里</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15615</th>\n",
       "      <td>73997</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>中国实业转型升级竞逐全球的新“联想”</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15880</th>\n",
       "      <td>73732</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>前有深圳、浦东，今天的雄安新区潜力有多大</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20022</th>\n",
       "      <td>69590</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>图解丨“垃圾分类”时代来了 你知道怎么分吗？</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id source content  \\\n",
       "11315  78297    新华社    \\n\\n   \n",
       "12294  77318    新华社    \\n\\n   \n",
       "15615  73997    新华社    \\n\\n   \n",
       "15880  73732    新华社    \\n\\n   \n",
       "20022  69590    新华社    \\n\\n   \n",
       "\n",
       "                                                 feature  \\\n",
       "11315  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "12294  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "15615  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "15880  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "20022  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "\n",
       "                        title  \n",
       "11315    广州青岛调控加码：不动产证满两年方可交易  \n",
       "12294      河北雄安新区来了！你想知道的都在这里  \n",
       "15615      中国实业转型升级竞逐全球的新“联想”  \n",
       "15880    前有深圳、浦东，今天的雄安新区潜力有多大  \n",
       "20022  图解丨“垃圾分类”时代来了 你知道怎么分吗？  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['content'] == '\\\\n\\\\n'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.xinhua-news.com/gdsdetailxhsnew/2198960-?pageflag=init&imageOrVedioTypeGdsId=\",\"site_sign\":\"xinhua\",\"keywords\":\"-\",\"summary\":\"\",\"rich_label\":\"[]\",\"all_type\":\"新媒体,新媒体专线\\\\r\\\\n\",\"issuing_department\":\"\",\"id\":\"2198960\",\"no\":\"200012017060601198251\",\"word_count\":\"0\",\"related_areas\":\"\",\"reported_area\":\"\",\"imgUrls\":\"noImage\"}'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['content'] == '\\\\n\\\\n'].iloc[-1]['feature']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据不均衡，需要进行下采样，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11315</th>\n",
       "      <td>78297</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>广州青岛调控加码：不动产证满两年方可交易</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12294</th>\n",
       "      <td>77318</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>河北雄安新区来了！你想知道的都在这里</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15615</th>\n",
       "      <td>73997</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>中国实业转型升级竞逐全球的新“联想”</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15880</th>\n",
       "      <td>73732</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>前有深圳、浦东，今天的雄安新区潜力有多大</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20022</th>\n",
       "      <td>69590</td>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n</td>\n",
       "      <td>{\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...</td>\n",
       "      <td>图解丨“垃圾分类”时代来了 你知道怎么分吗？</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id source content  \\\n",
       "11315  78297    新华社    \\n\\n   \n",
       "12294  77318    新华社    \\n\\n   \n",
       "15615  73997    新华社    \\n\\n   \n",
       "15880  73732    新华社    \\n\\n   \n",
       "20022  69590    新华社    \\n\\n   \n",
       "\n",
       "                                                 feature  \\\n",
       "11315  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "12294  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "15615  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "15880  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "20022  {\"type\":\"其它\",\"site\":\"新华社\",\"url\":\"http://home.x...   \n",
       "\n",
       "                        title  \n",
       "11315    广州青岛调控加码：不动产证满两年方可交易  \n",
       "12294      河北雄安新区来了！你想知道的都在这里  \n",
       "15615      中国实业转型升级竞逐全球的新“联想”  \n",
       "15880    前有深圳、浦东，今天的雄安新区潜力有多大  \n",
       "20022  图解丨“垃圾分类”时代来了 你知道怎么分吗？  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['content'] == '\\\\n\\\\n'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_content_with_title(row):\n",
    "    row.content = row.title\n",
    "    return row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[data['content'] == '\\\\n\\\\n'] = data[data['content'] == '\\\\n\\\\n'].apply(replace_content_with_title, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4960</th>\n",
       "      <td>84657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>投服中心四问万盛股份\\r\\n　　□本报记者 周松林 徐金忠 官平\\r\\n　　6月21日，在...</td>\n",
       "      <td>{\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>收购匠芯知本拟双主业运行</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>79620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>????搜狐传媒讯，作为一档非选秀节目，新一季《中国梦想秀》将于4月5日开播，有关赛制和梦想...</td>\n",
       "      <td>{\"type\":\"新闻\",\"site\":\"百度\",\"commentNum\":\"0\",\"joi...</td>\n",
       "      <td>中国梦想秀助梦团-雨轩范文网</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         id source                                            content  \\\n",
       "4960  84657    NaN  　投服中心四问万盛股份\\r\\n　　□本报记者 周松林 徐金忠 官平\\r\\n　　6月21日，在...   \n",
       "9997  79620    NaN  ????搜狐传媒讯，作为一档非选秀节目，新一季《中国梦想秀》将于4月5日开播，有关赛制和梦想...   \n",
       "\n",
       "                                                feature           title  \n",
       "4960  {\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...    收购匠芯知本拟双主业运行  \n",
       "9997  {\"type\":\"新闻\",\"site\":\"百度\",\"commentNum\":\"0\",\"joi...  中国梦想秀助梦团-雨轩范文网  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['source'].isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从feature中可以看出source为空的数据来源为中证网和百度，直接当做负类处理即可。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "      <th>feature</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>89517</td>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>天和防务股东未来6个月内计划减持不超过480万股公司股份</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>89514</td>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...</td>\n",
       "      <td>晶盛机电调整限制性股票回购价格</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>88620</td>\n",
       "      <td>央广网</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"type\":\"时事要闻\",\"site\":\"参考消息\",\"commentNum\":\"0\",...</td>\n",
       "      <td>[主播不在家]第二季：主播陈亮体验垃圾清运</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>88344</td>\n",
       "      <td>央广网</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"type\":\"IT业界\",\"site\":\"参考消息\",\"commentNum\":\"0\",...</td>\n",
       "      <td>LKK洛可可：想象力经济时代或已到来</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>88335</td>\n",
       "      <td>央广网</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"type\":\"IT业界\",\"site\":\"参考消息\",\"commentNum\":\"0\",...</td>\n",
       "      <td>CES2017：京东发布两款叮咚智能音箱新品 开放Alpha平台</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         id     source content  \\\n",
       "100   89517  中国证券报?中证网     NaN   \n",
       "103   89514  中国证券报?中证网     NaN   \n",
       "997   88620        央广网     NaN   \n",
       "1273  88344        央广网     NaN   \n",
       "1282  88335        央广网     NaN   \n",
       "\n",
       "                                                feature  \\\n",
       "100   {\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...   \n",
       "103   {\"type\":\"公司\",\"site\":\"中证网\",\"commentNum\":\"0\",\"jo...   \n",
       "997   {\"type\":\"时事要闻\",\"site\":\"参考消息\",\"commentNum\":\"0\",...   \n",
       "1273  {\"type\":\"IT业界\",\"site\":\"参考消息\",\"commentNum\":\"0\",...   \n",
       "1282  {\"type\":\"IT业界\",\"site\":\"参考消息\",\"commentNum\":\"0\",...   \n",
       "\n",
       "                                 title  \n",
       "100       天和防务股东未来6个月内计划减持不超过480万股公司股份  \n",
       "103                    晶盛机电调整限制性股票回购价格  \n",
       "997              [主播不在家]第二季：主播陈亮体验垃圾清运  \n",
       "1273                LKK洛可可：想象力经济时代或已到来  \n",
       "1282  CES2017：京东发布两款叮咚智能音箱新品 开放Alpha平台  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['content'].isna()].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据不均衡，89611条数据中，有78661条是新华社发布的，需要进行下采样或者调整类别权重，避免全部预测为正例还能获得很高的分数。  \n",
    "有177条数据的content为\\n\\n，对应的feature中summary也基本为空，使用title进行替换。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['快科技@http://www.kkj.cn/', '新华社', '深圳大件事', '中国证券报?中证网',\n",
       "       '威锋网@http://www.feng.com/', '荆楚网-楚天都市报', '证券时报网', '中国新闻网', '国际在线',\n",
       "       '中国证券网', 'solidot@', '新华网', '泡泡网', '凤凰体育', '雷锋网@', '中超球评',\n",
       "       '中国经济周刊', '人民日报', '央广网', '体育君', '新浪体育',\n",
       "       '雷锋网@http://www.leiphone.com/', '广州日报', 'TechWeb@', '足球小志', '人民网',\n",
       "       '时代财经@', '新疆日报', '中关村在线@', '网易科技@http://tech.163.com/', '封面新闻',\n",
       "       '央视新闻', '澎湃新闻网@', '澎湃新闻网', '中青在线', '央视新闻客户端@', '千龙网', '新华社@',\n",
       "       '新浪综合@', '中新网', 'GamerSky游民星空@http://www.gamersky.com/', '中国经济网',\n",
       "       'cnBeta.COM', '热点体育', '枪炮篮球PiU', '中国网财经',\n",
       "       '知客数码@http://www.zaeke.com/article-7066-1.html',\n",
       "       '于斌@http://www.chaoqi.net/', '霍寿喜', '网易科学人@', '看看新闻KNEWS', '新浪综合',\n",
       "       '最后一公里', '伊吾零距离', '环球时报-环球网', '经济日报', '足球部落国际版', '参考消息网', '黑龙江日报',\n",
       "       '解放军报', '环球网', '星城古龙', '凤凰网科技@', '每日经济新闻@', '新浪科技@', '经济参考报',\n",
       "       '每日经济新闻', '三十年莱斯特城球', '中国科技网', '柳州新闻网', '中国新闻网@', '新京报即时新闻',\n",
       "       'CCTV-央视网@http://www.cctv.com', '新闻晨报', '北青网-北京青年报', 'linkgou.com',\n",
       "       '中华网投资', '环球科技@http://tech.huanqiu.com/', '北京旅游网', '检察日报', '海南日报',\n",
       "       '南方周末', '中国台湾网', '南宁晚报', '时刻体育', '北京晨报', '凤凰娱乐', '球娱天下', '中国娱乐网',\n",
       "       '云南网', '中国时尚在线', '足球喜剧之王', '南国都市报', '剥洋葱people',\n",
       "       '安卓中国@https://www.anzhuo.cn/news/p_19901', '中国青年报', '中国网', '网络',\n",
       "       '深读', '哎，听说', '阳郊网警', '燕赵晚报', '证券日报', '重案组37号', '郑州晚报', '华尔街见闻',\n",
       "       'Wind资讯', '昭苏零距离', '新文化报', '伊犁晚报', '中国青年网', '腾讯', '凤凰网', '海运仓内参',\n",
       "       '浪潮工作室', '青年时报', '看看新闻Knews', '现代快报', '新京报', '政知道', '新快报', '重庆晨报',\n",
       "       '今日之声', '法律法规网', '乒乓社交开球网', '华商报', '人民日报-中央厨房', '微博', '宁夏新闻网',\n",
       "       '央视网', '凤凰科技@http://tech.ifeng.com', '南方都市报', '足球部落国内版',\n",
       "       '新浪科技@http://tech.sina.com.cn/', '中国青年报@', '正义网', '游民星空@', '南方日报',\n",
       "       '小贤说恒大', '科学大院微信公众号', '体坛大家', '北京青年报@', '东方网', '金羊网', '全球体育足球分析',\n",
       "       '荆楚网-湖北日报', '中国江苏网', '网易体育', '南京日报', '看看新闻Knews综合',\n",
       "       '安卓中国@https://www.anzhuo.cn/news/p_19908', '体坛刀客', '大米评测@',\n",
       "       '看看新闻网', '官网', '西部网', '四川新闻网', '老球皮丁丁', '济南时报', '蓝鲸TMT@', '向日葵体育',\n",
       "       '中国证券网@', '安卓中国@https://www.anzhuo.cn/news/p_19915', '玩懂手机网@',\n",
       "       '安卓中国@https://www.anzhuo.cn/news/p_19910', '大河网',\n",
       "       '搜狐科技@http://www.sohu.com/a/150107740_115565?qq-pf-to=pcqq.c2c',\n",
       "       '网易科学快讯@http://tech.163.com/17/0619/13/CNA16JQ900097U81.html',\n",
       "       '扬子晚报', '何氏佬侃球', '疯狂的球迷', '晓体sports', '真狍子歪解体坛', '方寸书斋', '单刀赴会',\n",
       "       '张家口在线', '世界说', '狂言之体育', '我爱英超', '澎湃新闻', '肆客足球', '参考消息', '沈阳日报',\n",
       "       '都市快报', '安徽政务网', '正义网-检察日报', '新华通讯社', '扬子晚报网', '胖编专栏', '红网',\n",
       "       '淄博发布', '华龙网', '华商网-华商报', '中国财经报', '半月谈网', '数说体育', '上海市政府网站',\n",
       "       '跑否金融 微信公众号', '网易历史', '新旅界', '东南快报', '法制日报', '人民网-旅游频道', '证券时报',\n",
       "       '环球时报', '东北网', '钱江晚报', '兰州晨报', '扬州晚报', '中国日报网站', '人民网-人民日报',\n",
       "       '浙江在线', 'PingWest', '华西都市报', '中国江西网', '红星新闻', '生活报网', '三湘都市报',\n",
       "       '机器人网@https://www.jqr.com/news/003814', '人民网-人民日报海外版', '齐鲁壹点',\n",
       "       '长江网-武汉晨报',\n",
       "       '好奇心日报@http://tech.163.com/17/0619/14/CNA4VL9G00097U7R.html',\n",
       "       '央视新闻客户端', '破壳翻译组', '曲一刀',\n",
       "       '游民星空@http://www.gamersky.com/news/201706/917315.shtml', '第一财经日报',\n",
       "       '盖世汽车网@', '中国证券报',\n",
       "       '新华社@http://tech.163.com/17/0619/15/CNA7J2EJ00097U7T.html', '盖世汽车',\n",
       "       '看看新闻',\n",
       "       '新华社@http://tech.huanqiu.com/intelligent/2017-06/10868069.html?qq-pf-to=pcqq.c2c',\n",
       "       '中国汽车报', '海外网', '科研圈@', '郑州日报', '澎湃有戏', '光明网', '最高检网站', 'i黑马',\n",
       "       '华商网', '环球网@', 'cnautonews.com', '新浪', '财富动力网', '汽车之家', '信息时报',\n",
       "       '21世纪经济报道', '凤凰网娱乐', '中国日报网', '法制晚报', '东森新闻云', '中国经济网-《经济日报',\n",
       "       '人民网-国际频道', '东方财富网', 'FX168', '政府网站', '新民网', '中国金融信息网', '中国汽车报网',\n",
       "       '阿思达克财经', '齐鲁网', '中国天气网', '汇通网', '网易娱乐', '澎湃', '都市时报', '新浪财经',\n",
       "       '重庆时报网', '现代快报全媒体', '中金网', 'TV哔', '新浪网', '证券时报APP', '公安部刑侦局',\n",
       "       '一财网', '未来网', '齐鲁晚报', '中国领事服务网', '潇湘晨报', '央视', '第一财经', '央视财经',\n",
       "       '成都商报', '海南特区报', '电影大爆炸', '证券时报?e公司', '人民网－人民日报', '重庆晚报', '智通财经网',\n",
       "       '新浪科技', '和讯网', 'FX168财经报社',\n",
       "       '中国航天科技集团公众号@http://tech.sina.com.cn/d/s/2017-06-19/doc-ifyhfnrf9343572.shtml?qq-pf-to=pcqq.c2c',\n",
       "       '新华社新媒体专线', 'Techweb', '中国搜索网', '新华网@', '深圳晚报', '云南网 @', '国际金融报',\n",
       "       '法制网', '华尔街见闻@', '重庆晨报上游新闻', '经济观察网', '上海观察', '英才',\n",
       "       '充电头网@http://www.chongdiantou.com/wp/archives/15096.html', '中国台州网',\n",
       "       '金融界', '雷帝触网', '时光网', 'Financial Times', '大洋网-广州日报',\n",
       "       '凤凰国际iMarkets', '观察者网', '机器人网@https://www.jqr.com/news/003825',\n",
       "       '36氪快讯', '地球知识局', '财经网', 'TechWeb', '云南网@', '中国日报', '新京报政事儿',\n",
       "       'DoNews', '智通财经', '外事儿', '张子枫官方工作室', '宋祖儿', '金融界网站', '安邦保险集团',\n",
       "       '尚雯婕', '经济观察报@', '港股那点事', '长安街知事', '刘芸', '杨烁工作室', 'N软网@', '侯明昊Neo',\n",
       "       '环球老虎财经', 'Wind资讯、中国债券信息网、招商基金', '王珞丹工作室', '江西日报', '经济观察网@',\n",
       "       'MacX@http://www.macx.cn/', '立方娱乐', '梨视频', '杭州交通918', '王三三', '雷锋网',\n",
       "       '中国基金报', '观海解局', '半岛都市报', '北京商报', '科技日报社-中国科技网', '凤凰八卦', '萌神木木',\n",
       "       '北京日报', '中国经济网-《经济日报》', '上海证券报', '参考军事', '邹汝萍', '深交所网站', '环球家电网',\n",
       "       '海清FICC频道', '大江网', '北京娱乐信报', '中国军网', '排排网', '中国政府网', '新京报我们视频',\n",
       "       '参考消息网-锐参考', '人民网―生命时报', '浙青网-青年时报', '懿惠投资', '北京青年报', '健康报',\n",
       "       '最高人民法院', '期货日报', '农产品期货网', '科技日报', '新浪财经@', '宁波晚报', '北京商报@',\n",
       "       '21世纪经济报道@', '太平洋电脑网', '健康时报', '丁香医生', '生意社', '中辉期货', '华安期货',\n",
       "       '迈科期货', '英大期货', '新纪元期货', '生命时报', '水星家纺', '大众网', '方正中期', '凤凰财经',\n",
       "       '易科软件（上海）有限公司', 'IT之家', '凤凰财经WEMONEY', '文思海辉', '上海江森自控国际蓄电池有限公司',\n",
       "       '海外探客', '旅业传媒', '每日经济新闻公号', '轻松一刻工作室', '智东西', 'Mesosphere', '西楚网',\n",
       "       '大白新闻', '湘东检察', 'FUN来了', '每日人物', '飞象网', '商业人物', '读懂新三板', '搜狐',\n",
       "       'FM93交通之声', '半岛晨报', '科技成果转化联盟', '中国广播网', '全景网', '挖贝网', '蓝鲸教育',\n",
       "       'Adonit', '第一财经网', '鲁豫有约', 'Lectra力克', '新三板论坛', '犀牛之星', '345成长板',\n",
       "       '七牛云', '新京报@http://tech.163.com/17/0620/07/CNC06KA800097U7T.html',\n",
       "       '大众证券报', '南国今报', '杭州交通91.8', '说人解事', '广证恒生新三板研究极客', '风长眼量',\n",
       "       '华夏经纬网', '中国经济网—《经济日报》', '新三板在线', '新三板智库', '人民日报海外版', '华尔街见闻网',\n",
       "       '新华国际', '华夏时报', 'FX168财经网', 'e公司官微', '融360', '红网@', '凤凰房产', '台海网',\n",
       "       '投资快报', '沈阳晚报', '证券日报-资本证券网', '网易房产', '搜狐焦点', '北京晚报', '搜房网',\n",
       "       '经济导报', '融360房贷', '网易财经综合', '叶檀财经', '中国财富网', '上海证券报?中国证券网', '南方网',\n",
       "       '科普中国网', '环球网-生命时报', '观点地产网', '金融时报', '地球那些事儿', '长城网', '娱乐市场',\n",
       "       '腾讯财经', '焦点房地产网', '羊城晚报', '证券市场周刊?红周刊', '财政部',\n",
       "       '凤凰财经（ID：finance_ifeng）', '谈资', 'wind资讯', '凤凰财经综合', '最爱浙江',\n",
       "       'CNR国防时空', '广州市政府', '凤凰房产综合', '每日甘肃网', '中新社', '贵阳晚报', '美美娱乐',\n",
       "       '西安晚报', '快科技', '和讯房产', '金融深度', '中国侨网', '地产情报', '国家统计局', '新浪汽车',\n",
       "       '中安在线', '娱乐小狗仔', '浙商证券', '渤海证券', '安信证券', '中银国际证券', '中国经济时报',\n",
       "       '河北新闻网', '华商晨报',\n",
       "       '北京青年报@http://tech.ifeng.com/a/20170620/44640389_0.shtml',\n",
       "       '安卓中国@https://www.anzhuo.cn/news/p_19930', '时代周报', '北京时间', '格隆汇',\n",
       "       '国信证券', '光大证券', '一手视频', '1818黄金眼', '工人日报', '开源证券', '国金证券',\n",
       "       '央视财经@http://news.sina.com.cn/o/2017-06-20/doc-ifyhfhrt4858335.shtml?qq-pf-to=pcqq.c2c',\n",
       "       '中国电子商务研究中心@http://b2b.netsun.com/detail--6401665.html', '新京报评论',\n",
       "       '映象网', '盖世汽车综合', '华安证券', '西南证券', '长城证券', '新民晚报', '中国经济网综合', '网易财经',\n",
       "       '体育焦点哥', '牛弹琴', '网贷之家', '中国证券报-中证网', 'qianlongw', '黔讯网', '重庆晨报@',\n",
       "       '迈克尔程', '黑色柳丁', '绯色侃球', '央行网站', '财新网', '篮球迷俱乐部', '天意足球', '天健网',\n",
       "       '意甲守望者联盟', '一手Video', 'it168网站原创', '足坛宙斯', '发改委网站', '浙江法制报', '央行',\n",
       "       '叮咚体坛', '数据宝', '中国保险监督管理委员会', '广州日报第ZSA15版', '国防科工局', '湖北日报',\n",
       "       '广州日报第SZA16版', '国家外汇管理局网站', '中青网旅游', '广州日报第SZA15版', '广州日报第SS4版',\n",
       "       '广州日报第SS3版', '广州日报第SS2版', '广州日报第SS1版', '和讯股票', '广州日报第FSA18版',\n",
       "       '广州日报第FSA17版', '多彩贵州网', 'e公司', '侠客岛', '万得资讯', '广州日报第FSA16版',\n",
       "       '民航资源网', '上海证券通', '河南电视台', '微信公众号长江策略', '广州日报第FSA15版', '巨丰投顾',\n",
       "       '中航证券', '华讯投资', '宁波海顺', '广州日报第FS1版', '中方信富', '源达投顾', '科德投资',\n",
       "       '天信投顾', '容维投资', '大摩投资', '钱坤投资', '翔哥有话要说', '广州日报第DGA18版',\n",
       "       '中国证券报?中证网综合', '政知见', '广州日报第DGA17版',\n",
       "       '安卓中国@https://www.anzhuo.cn/news/p_19944', '广州日报第DGA16版',\n",
       "       '广州日报第DGA15版', '微信公众号分析师徐彪', '金融投资报', '广州日报第DG1版',\n",
       "       '游民星空@http://www.gamersky.com/news/201706/917721.shtml', '金百临投资',\n",
       "       '和信投顾', '新京报@', '广州日报第A26版',\n",
       "       '中国青年报@http://tech.163.com/17/0620/11/CNCBMBAA00097U7T.html',\n",
       "       '广州日报第A25版', '广州日报第A24版', '广州日报第A23版', '新摄影@', '广州日报第A22版', '凤凰军事',\n",
       "       '四川在线', '淮北濉溪公安在线', '广州日报第A21版', '速途网', '都市热报', '广州日报第A20版',\n",
       "       '中国甘肃网', '虎扑体育', '广西新闻网', '券商中国', '广州日报第A19版', '中体在线', '动漫星空@',\n",
       "       '广州日报第A18版', '新浪军事', '菱镜头', '正义网@', '凤凰号', '北青深一度', '新浪娱乐',\n",
       "       '一手video', '界面新闻', '中新网@', '新浪美股@', '梅州广播电视台', '地震局网站',\n",
       "       '第一财经@http://tech.163.com/17/0620/14/CNCOOB6800097U7R.html', nan,\n",
       "       '每日涨停板复盘', '广州日报第JMA16版', '人民政协网', '广州日报第JMA15版',\n",
       "       '新浪财经@http://tech.sina.com.cn/d/i/2017-06-20/doc-ifyhfnqa4497509.shtml?qq-pf-to=pcqq.c2c',\n",
       "       '广州日报第H2版', '广州日报第H1版', '广州日报第FSA26版', '凤凰财知道', '广州日报第FSA25版',\n",
       "       '广州日报第FSA24版', '广州日报第FSA23版', '台州晚报', '财政部网站', '界面', '证监会发布',\n",
       "       '中央纪委监察部网站', '风尚中国', '山东高院', '中财网', '中华网', '中国城市快报', '北青网', '政事儿',\n",
       "       '外交部网站', '长江日报第16版', '作者', '长江日报第15版', '@胖子孙越微博', '长江日报第14版',\n",
       "       '天津北方网', '娱八婆', '长江日报第13版', '长江日报第12版', '河南日报', '长江日报第11版',\n",
       "       '长江日报第10版', '长江日报第9版', '证监会网站', '长江日报第8版', '长江日报第7版', '长江日报第6版',\n",
       "       '广州日报第A17版', '长江日报第5版', 'gzw.net', '政知圈', '广州日报第A16版', '财联社',\n",
       "       '长江日报第4版', '长江日报第3版', '人民网-安徽频道', '广州日报第A15版', '广州日报第A14版',\n",
       "       '国是直通车', '广州日报第A13版', '长江日报第2版', '广州日报第A12版', '成都商报第10版',\n",
       "       'DiyiTech', '成都商报第12版', 'sohu', '成都商报第11版', '海南日报第016版',\n",
       "       'fansyes.com', '广州日报第A11版', '广州日报第A10版', '海南日报第015版', '广州日报第A9版',\n",
       "       '广州日报第A8版', '成都商报第09版', '广州日报第A7版', '海南日报第014版', '成都商报第08版',\n",
       "       '广州日报第A6版', '成都商报第07版', '成都商报第06版', '广州日报第A5版', '广州日报第A4版',\n",
       "       '成都商报第05版', '海南日报第013版', '济南中院', '成都商报第04版', '广州日报第A3版',\n",
       "       '新华网@http://tech.163.com/17/0620/15/CNCQ8UH500097U81.html',\n",
       "       '湖北日报第2版', '广州日报第A2版', '湖北日报第28版', '成都商报第03版', '湖北日报第27版',\n",
       "       '成都商报第02版', '湖北日报第26版', '湖北日报第24版',\n",
       "       '长江日报@http://tech.163.com/17/0620/15/CNCQDVDE00097U81.html',\n",
       "       '时尚芭莎', '成都商报第24版', '湖北日报第23版', '成都商报第23版', '湖北日报第22版', '成都商报第22版',\n",
       "       '海南日报第012版',\n",
       "       '长江日报@http://tech.163.com/17/0620/15/CNCQ35FV00097U82.html',\n",
       "       '广州日报第A1版', '湖北日报第21版', '海南日报第011版', '成都商报第21版', '成都商报第20版',\n",
       "       '湖北日报第20版', '湖北日报第19版', '湖北日报第18版', '湖北日报第16版', '河南日报第16版',\n",
       "       '成都商报第19版', '湖北日报第15版', '湖北日报第14版', '广州日报第02版', '湖北日报第13版',\n",
       "       '成都商报第18版', '国家地震台网', '海南日报第010版', '湖北日报第12版', '河南日报第15版',\n",
       "       '成都商报第17版',\n",
       "       '1905电影网@http://www.1905.com/news/20170620/1194314.shtml?fr=wwwnews_list_hlw_201411#p1',\n",
       "       '湖北日报第11版', '南方日报第01版', '成都商报第16版', '郑州日报第12版', '成都商报第15版',\n",
       "       '成都商报第14版', '郑州日报第11版', '成都商报第13版', '海南日报第009版', '湖北日报第10版',\n",
       "       '河南日报第14版', '河南日报第13版', '郑州日报第10版', '海南日报第008版', '河北新闻网@',\n",
       "       '河南日报第12版', '湖北日报第9版', '河南日报第11版', '长江日报第1版', '河南日报第10版',\n",
       "       '郑州日报第09版', '海南日报第007版',\n",
       "       '新浪财经@http://tech.sina.com.cn/i/2017-06-20/doc-ifyhfnrf9391000.shtml?qq-pf-to=pcqq.c2c',\n",
       "       '海南日报第006版', '海南日报第005版', '湖北日报第8版', '河南日报第09版', '郑州日报第08版',\n",
       "       '机器人网@https://www.jqr.com/news/003871', '河南日报第08版', '湖北日报第7版',\n",
       "       '湖北日报第6版', '郑州日报第07版', '河南日报第06版', '湖北日报第5版', '湖北日报第4版',\n",
       "       '海南日报第004版', '郑州日报第06版', '河南日报第05版', '海南日报第003版', '湖北日报第3版',\n",
       "       '郑州日报第05版', '重庆时间', '河南日报第04版', '郑州日报第04版', '海南日报第002版',\n",
       "       '中央纪委监察部网', '河南日报第03版', '郑州日报第03版', '成都商报第01版', '大洋网', '湖北日报第1版',\n",
       "       'ZAEKE知客@', '河南日报第02版', '郑州日报第02版', '河南日报第01版', '海南日报第001版',\n",
       "       '广州日报第01版', '郑州日报第01版', '廉政瞭望', '长江日报第24版', '长江日报第23版', '长江日报第22版',\n",
       "       '海南日报第020版', '长江日报第21版', '海南日报第019版', '长江日报第20版', '长江日报第19版',\n",
       "       '长江日报第18版', '微信公众号陈果A股策略', '长江日报第17版', '海南日报第018版', '搜狐娱乐',\n",
       "       '海南日报第017版', 'Wind资', '湖北日报第17版', '成都晚报', '人民日报客户端', '时尚健康',\n",
       "       '中芯国际集成电路制造有限公司', '云南低碳经济网', '仲利', '易米云通', '腾讯科技', '赛迪网', '科技快报',\n",
       "       '中国网生活消费', 'cnbeta网站', '懒人科技网', 'Mentor', '果加智能', '站长之家', '野马财经',\n",
       "       '佳通轮胎', '杭州玄机科技信息技术有限公司', 'Pico', '河南日报第07版', '中国国防部', '中国地震台网',\n",
       "       'Mail Online', '上海东方高清', 'MailOnline', '安徽高清', '新华国际微博', '天山网原创',\n",
       "       '中国体育报', '乐视体育', '安徽网', '虎扑足球', '虎扑篮球', '中国新闻社', '东线瞭望', '天山网',\n",
       "       '吉网', '老邓侃球', '体育疯', '肆客足球App', '5U体育', '凯发精英体育', '化妆真的简单', '海报网',\n",
       "       'ELLEMEN睿士', '维欧服装设计留学作品集', 'Bomoda摩登系', '悦己self', '时尚COSMO', '嘉人',\n",
       "       'Twippo法国时尚', '丫七大小姐', '穿衣助手', '重庆叁壹伍捌信息技术有限公司', '房天下', '亿超眼镜',\n",
       "       '龙源期刊网', '爱奇艺', '知乎', '网址之家', '考拉网', '纷纷雨', '马鞍山师范高等专科学校', '人人网',\n",
       "       '山东传媒', '安徽教育网', '大连力得现代科技有限公司', '汉丰网', '莱芜新闻网', '搜狐网', '百度', '豆丁',\n",
       "       '齐鲁晚报网', '山东师范大学附属中学', '威海新闻网', '中国文明网', '遂宁日报网', '清丰网',\n",
       "       '徐州市大马路小学', '中国德江', '贵阳网', '梵净网', '贵州基层党建网', '中共灌云县委办公室', '微山门户网',\n",
       "       '饶阳县公众信息网', '青岛广易通网络科技有限公司', '中国邢台', '绿色望谟', '德江网', '歙县电子政务网',\n",
       "       '吕梁广播电视网', '闽西新闻网', '山西新闻网', '网易', '梅州网', '金华政府门户网站', 'eastday',\n",
       "       '济南网络电视台', '品尝网', '中国搜索信息科技股份有限公司', '电脑上wap网', '好网角网络收藏夹', '如豹网',\n",
       "       '排骨资讯网', '医药魔方数据@', '热刺节操巷', '大庆网', '北晚新视觉', '南海网', '腾讯网', '网易新闻',\n",
       "       '湖北日报网', '拳星时代', '直通台湾', '团结湖参考', '贵阳日报(A01)', '南京日报第A01版',\n",
       "       '楚天都市报第1版', '呼和浩特日报第RB01版', '沈阳日报第A01版', '青海日报第1版', '新华日报1',\n",
       "       '华西都市报A2', '昆明日报 第A01版', '赤峰日报001', '燕赵晚报A01', '华西都市报A1'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 所有source来源\n",
    "data.source.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['中国证券报?中证网', '央广网', '中国台湾网', '海南日报第016版', '海南日报第015版', '海南日报第013版',\n",
       "       '海南日报第012版', '海南日报第011版', '海南日报第010版', '郑州日报第11版', '海南日报第009版',\n",
       "       '海南日报第005版', '海南日报第004版', '南方日报第01版', '海南日报第002版', '中国新闻网',\n",
       "       '海南日报第001版', '郑州日报第01版', '长江日报第24版', '长江日报第23版', '海南日报第018版',\n",
       "       '海南日报第017版', '海南日报第014版', '郑州日报第03版', '微博', '知乎'], dtype=object)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将内容为空，所涉及的source显示出来\n",
    "data[data['content'].isna()].source.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 提取出source和content两列\n",
    "data=data[['source', 'content']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>快科技@http://www.kkj.cn/</td>\n",
       "      <td>此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新华社</td>\n",
       "      <td>这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>深圳大件事</td>\n",
       "      <td>（原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>威锋网@http://www.feng.com/</td>\n",
       "      <td>虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>荆楚网-楚天都市报</td>\n",
       "      <td>（原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>证券时报网</td>\n",
       "      <td>证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>证券时报网</td>\n",
       "      <td>?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>中国新闻网</td>\n",
       "      <td>中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>国际在线</td>\n",
       "      <td>6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>中国证券网</td>\n",
       "      <td>中国证券网讯（记者 费天元）沪深两市周五临近午盘出现快速跳水，沪指连续跌穿5日、10日及...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>solidot@</td>\n",
       "      <td>九成以上的源包用逐位对应的方式构建，未来版本的 Debian 还将提供验证包的工具和元数据；...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>新华网</td>\n",
       "      <td>国歌法草案首次提请最高立法机关审议\\r\\n点击图片进入下一页\\r\\n新闻：十二届全国人大常委...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>中证网讯 （本报记者 张怡）今日，三板做市指数继续低开下行，盘中最低触及1057.91点...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>泡泡网</td>\n",
       "      <td>原标题：叙利亚被“袭机”事件惹怒俄罗斯 警告将瞄准美战机\\r\\n　　海外网6月19日电 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>威锋网@http://www.feng.com/</td>\n",
       "      <td>就在这几天，一位微博名为“摩卡 RQ ”的手机、芯片、移动互联网三界知名独立评论人爆料称，O...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>中国证券报?中证网</td>\n",
       "      <td>中证网讯 （本报记者 张怡）与此前两日蓝筹股强势格局不同，周五，A股市场主要指数低开之后...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>凤凰体育</td>\n",
       "      <td>北京时间6月20日，江苏苏宁足球俱乐部发布了足协杯第四轮江苏苏宁易购队主场对阵河南建业队的官...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>新华网</td>\n",
       "      <td>当地时间2017年6月17日，土耳其马尼萨省，在土耳其第1步兵训练大队司令部军营，590名土...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>雷锋网@</td>\n",
       "      <td>今年3月份，王劲从百度自动驾驶事业部任上离职，随后创办景驰科技。在随后的日子里，景驰很快组建...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>新华网</td>\n",
       "      <td>英国与欧盟的“脱欧”谈判于19日正式开始。然而此时，英国首相特雷莎·梅正面临着空前的政治压力...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>中超球评</td>\n",
       "      <td>中超联赛第13轮比赛已经全部结束，这轮比赛中最让人觉得结果有些出乎意料的，莫过于卡佩罗执教江...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>中国经济周刊</td>\n",
       "      <td>文章导读： 供应商围堵追债、20多位高管离职、上千人被裁员、孤注一掷史上最大规模的降价…...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89581</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89582</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89583</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89584</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89585</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89586</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89587</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89588</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89589</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89590</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89591</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89592</th>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n2017年4月27日，在首尔光化门广场，民众在集会上手举反“萨德”标语。（新华社记者...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89593</th>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n新华社巴格达6月6日电（记者魏玉栋　程帅朋）伊拉克西部安巴尔省一处市场6日晚发生自杀式爆...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89594</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89595</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89596</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89597</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89598</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89599</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89600</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89601</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89602</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89603</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89604</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，清...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89605</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89606</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社照片，多伦多，2017年6月7日\\n（体育）（2）冰球——国家女子冰球队海外选秀在多伦...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89607</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社兰州6月3日电（王衡、徐丹）记者从甘肃省交通运输厅获悉，甘肃近日集中开建高速公路、普通...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89608</th>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n2017年5月29日，在法国巴黎郊外的凡尔赛宫，法国总统马克龙出席新闻发布会。（新华...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89609</th>\n",
       "      <td>新华社</td>\n",
       "      <td>\\n\\n2017年5月25日，在美国马萨诸塞州剑桥市，哈佛大学毕业生在毕业典礼上欢呼。（新华...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89610</th>\n",
       "      <td>新华社</td>\n",
       "      <td>新华社德国杜塞尔多夫６月６日电题：乒乓女球迷　\\n　　新华社记者王子江、张寒\\n　　熊老...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89611 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         source  \\\n",
       "0        快科技@http://www.kkj.cn/   \n",
       "1        快科技@http://www.kkj.cn/   \n",
       "2        快科技@http://www.kkj.cn/   \n",
       "3                           新华社   \n",
       "4                         深圳大件事   \n",
       "5                     中国证券报?中证网   \n",
       "6      威锋网@http://www.feng.com/   \n",
       "7                     中国证券报?中证网   \n",
       "8                     荆楚网-楚天都市报   \n",
       "9                     中国证券报?中证网   \n",
       "10                        证券时报网   \n",
       "11                        证券时报网   \n",
       "12                        中国新闻网   \n",
       "13                    中国证券报?中证网   \n",
       "14                         国际在线   \n",
       "15                        中国证券网   \n",
       "16                     solidot@   \n",
       "17                          新华网   \n",
       "18                    中国证券报?中证网   \n",
       "19                    中国证券报?中证网   \n",
       "20                          泡泡网   \n",
       "21                    中国证券报?中证网   \n",
       "22     威锋网@http://www.feng.com/   \n",
       "23                    中国证券报?中证网   \n",
       "24                         凤凰体育   \n",
       "25                          新华网   \n",
       "26                         雷锋网@   \n",
       "27                          新华网   \n",
       "28                         中超球评   \n",
       "29                       中国经济周刊   \n",
       "...                         ...   \n",
       "89581                       新华社   \n",
       "89582                       新华社   \n",
       "89583                       新华社   \n",
       "89584                       新华社   \n",
       "89585                       新华社   \n",
       "89586                       新华社   \n",
       "89587                       新华社   \n",
       "89588                       新华社   \n",
       "89589                       新华社   \n",
       "89590                       新华社   \n",
       "89591                       新华社   \n",
       "89592                       新华社   \n",
       "89593                       新华社   \n",
       "89594                       新华社   \n",
       "89595                       新华社   \n",
       "89596                       新华社   \n",
       "89597                       新华社   \n",
       "89598                       新华社   \n",
       "89599                       新华社   \n",
       "89600                       新华社   \n",
       "89601                       新华社   \n",
       "89602                       新华社   \n",
       "89603                       新华社   \n",
       "89604                       新华社   \n",
       "89605                       新华社   \n",
       "89606                       新华社   \n",
       "89607                       新华社   \n",
       "89608                       新华社   \n",
       "89609                       新华社   \n",
       "89610                       新华社   \n",
       "\n",
       "                                                 content  \n",
       "0      此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...  \n",
       "1      骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...  \n",
       "2      此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...  \n",
       "3        这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n  \n",
       "4      （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...  \n",
       "5      　　受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...  \n",
       "6      虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...  \n",
       "7      　　沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...  \n",
       "8      （原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...  \n",
       "9      　　6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...  \n",
       "10     　　证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...  \n",
       "11     ?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...  \n",
       "12     中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...  \n",
       "13     　　曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...  \n",
       "14     6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC...  \n",
       "15     　　中国证券网讯（记者 费天元）沪深两市周五临近午盘出现快速跳水，沪指连续跌穿5日、10日及...  \n",
       "16     九成以上的源包用逐位对应的方式构建，未来版本的 Debian 还将提供验证包的工具和元数据；...  \n",
       "17     国歌法草案首次提请最高立法机关审议\\r\\n点击图片进入下一页\\r\\n新闻：十二届全国人大常委...  \n",
       "18     　　中证网讯 （本报记者 张怡）今日，三板做市指数继续低开下行，盘中最低触及1057.91点...  \n",
       "19     　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...  \n",
       "20     　　原标题：叙利亚被“袭机”事件惹怒俄罗斯 警告将瞄准美战机\\r\\n　　海外网6月19日电 ...  \n",
       "21     　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...  \n",
       "22     就在这几天，一位微博名为“摩卡 RQ ”的手机、芯片、移动互联网三界知名独立评论人爆料称，O...  \n",
       "23     　　中证网讯 （本报记者 张怡）与此前两日蓝筹股强势格局不同，周五，A股市场主要指数低开之后...  \n",
       "24     北京时间6月20日，江苏苏宁足球俱乐部发布了足协杯第四轮江苏苏宁易购队主场对阵河南建业队的官...  \n",
       "25     当地时间2017年6月17日，土耳其马尼萨省，在土耳其第1步兵训练大队司令部军营，590名土...  \n",
       "26     今年3月份，王劲从百度自动驾驶事业部任上离职，随后创办景驰科技。在随后的日子里，景驰很快组建...  \n",
       "27     英国与欧盟的“脱欧”谈判于19日正式开始。然而此时，英国首相特雷莎·梅正面临着空前的政治压力...  \n",
       "28     中超联赛第13轮比赛已经全部结束，这轮比赛中最让人觉得结果有些出乎意料的，莫过于卡佩罗执教江...  \n",
       "29     　　文章导读： 供应商围堵追债、20多位高管离职、上千人被裁员、孤注一掷史上最大规模的降价…...  \n",
       "...                                                  ...  \n",
       "89581  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89582  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89583  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89584  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89585  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89586  新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...  \n",
       "89587  新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...  \n",
       "89588  新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...  \n",
       "89589  新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...  \n",
       "89590  新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...  \n",
       "89591  新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...  \n",
       "89592  \\n\\n2017年4月27日，在首尔光化门广场，民众在集会上手举反“萨德”标语。（新华社记者...  \n",
       "89593  \\n新华社巴格达6月6日电（记者魏玉栋　程帅朋）伊拉克西部安巴尔省一处市场6日晚发生自杀式爆...  \n",
       "89594  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89595  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89596  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89597  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89598  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89599  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89600  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89601  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89602  新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...  \n",
       "89603  新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...  \n",
       "89604  新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，清...  \n",
       "89605  新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...  \n",
       "89606  新华社照片，多伦多，2017年6月7日\\n（体育）（2）冰球——国家女子冰球队海外选秀在多伦...  \n",
       "89607  新华社兰州6月3日电（王衡、徐丹）记者从甘肃省交通运输厅获悉，甘肃近日集中开建高速公路、普通...  \n",
       "89608  \\n\\n2017年5月29日，在法国巴黎郊外的凡尔赛宫，法国总统马克龙出席新闻发布会。（新华...  \n",
       "89609  \\n\\n2017年5月25日，在美国马萨诸塞州剑桥市，哈佛大学毕业生在毕业典礼上欢呼。（新华...  \n",
       "89610  　　新华社德国杜塞尔多夫６月６日电题：乒乓女球迷　\\n　　新华社记者王子江、张寒\\n　　熊老...  \n",
       "\n",
       "[89611 rows x 2 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成标签，如果是新华社则是1，如果不是标记为0\n",
    "def generate_label(source, include_website=False):\n",
    "    if not source:\n",
    "        return 0\n",
    "    if include_website and re.search('新华[社|网]', str(source)):\n",
    "        return 1\n",
    "    elif re.search('新华社', str(source)):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.source = data.source.apply(generate_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.columns = ['label', 'content']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>（原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>（原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0</td>\n",
       "      <td>?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    label                                            content\n",
       "0       0  此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...\n",
       "1       0  骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...\n",
       "2       0  此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...\n",
       "3       1    这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n\n",
       "4       0  （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...\n",
       "5       0  　　受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...\n",
       "6       0  虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...\n",
       "7       0  　　沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...\n",
       "8       0  （原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...\n",
       "9       0  　　6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...\n",
       "10      0  　　证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...\n",
       "11      0  ?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...\n",
       "12      0  中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...\n",
       "13      0  　　曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...\n",
       "14      0  6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC..."
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(n=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 进一步文本预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取停用词\n",
    "with open(\"stopwords.txt\", encoding=\"utf-8-sig\") as f:\n",
    "    stopwords = [line.strip() for line in f.readlines()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['一',\n",
       " '一下',\n",
       " '一个',\n",
       " '一些',\n",
       " '一何',\n",
       " '一切',\n",
       " '一则',\n",
       " '一则通过',\n",
       " '一天',\n",
       " '一定',\n",
       " '一方面',\n",
       " '一旦',\n",
       " '一时',\n",
       " '一来',\n",
       " '一样',\n",
       " '一次',\n",
       " '一片',\n",
       " '一番',\n",
       " '一直',\n",
       " '一致',\n",
       " '一般',\n",
       " '一起',\n",
       " '一转眼',\n",
       " '一边',\n",
       " '一面',\n",
       " '七',\n",
       " '万一',\n",
       " '三',\n",
       " '三天两头',\n",
       " '三番两次',\n",
       " '三番五次',\n",
       " '上',\n",
       " '上下',\n",
       " '上升',\n",
       " '上去',\n",
       " '上来',\n",
       " '上述',\n",
       " '上面',\n",
       " '下',\n",
       " '下列',\n",
       " '下去',\n",
       " '下来',\n",
       " '下面',\n",
       " '不',\n",
       " '不一',\n",
       " '不下',\n",
       " '不久',\n",
       " '不了',\n",
       " '不亦乐乎',\n",
       " '不仅',\n",
       " '不仅...而且',\n",
       " '不仅仅',\n",
       " '不仅仅是',\n",
       " '不会',\n",
       " '不但',\n",
       " '不但...而且',\n",
       " '不光',\n",
       " '不免',\n",
       " '不再',\n",
       " '不力',\n",
       " '不单',\n",
       " '不变',\n",
       " '不只',\n",
       " '不可',\n",
       " '不可开交',\n",
       " '不可抗拒',\n",
       " '不同',\n",
       " '不外',\n",
       " '不外乎',\n",
       " '不够',\n",
       " '不大',\n",
       " '不如',\n",
       " '不妨',\n",
       " '不定',\n",
       " '不对',\n",
       " '不少',\n",
       " '不尽',\n",
       " '不尽然',\n",
       " '不巧',\n",
       " '不已',\n",
       " '不常',\n",
       " '不得',\n",
       " '不得不',\n",
       " '不得了',\n",
       " '不得已',\n",
       " '不必',\n",
       " '不怎么',\n",
       " '不怕',\n",
       " '不惟',\n",
       " '不成',\n",
       " '不拘',\n",
       " '不择手段',\n",
       " '不敢',\n",
       " '不料',\n",
       " '不断',\n",
       " '不日',\n",
       " '不时',\n",
       " '不是',\n",
       " '不曾',\n",
       " '不止',\n",
       " '不止一次',\n",
       " '不比',\n",
       " '不消',\n",
       " '不满',\n",
       " '不然',\n",
       " '不然的话',\n",
       " '不特',\n",
       " '不独',\n",
       " '不由得',\n",
       " '不知不觉',\n",
       " '不管',\n",
       " '不管怎样',\n",
       " '不经意',\n",
       " '不胜',\n",
       " '不能',\n",
       " '不能不',\n",
       " '不至于',\n",
       " '不若',\n",
       " '不要',\n",
       " '不论',\n",
       " '不起',\n",
       " '不足',\n",
       " '不过',\n",
       " '不迭',\n",
       " '不问',\n",
       " '不限',\n",
       " '与',\n",
       " '与其',\n",
       " '与其说',\n",
       " '与否',\n",
       " '与此同时',\n",
       " '专门',\n",
       " '且',\n",
       " '且不说',\n",
       " '且说',\n",
       " '两者',\n",
       " '严格',\n",
       " '严重',\n",
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       " '必定',\n",
       " '必将',\n",
       " '必然',\n",
       " '必要',\n",
       " '必须',\n",
       " '快',\n",
       " '快要',\n",
       " '忽地',\n",
       " '忽然',\n",
       " '怎',\n",
       " '怎么',\n",
       " '怎么办',\n",
       " '怎么样',\n",
       " '怎奈',\n",
       " '怎样',\n",
       " '怎麽',\n",
       " '怕',\n",
       " '急匆匆',\n",
       " '怪',\n",
       " '怪不得',\n",
       " '总之',\n",
       " '总是',\n",
       " '总的来看',\n",
       " '总的来说',\n",
       " '总的说来',\n",
       " '总结',\n",
       " '总而言之',\n",
       " '恍然',\n",
       " '恐怕',\n",
       " '恰似',\n",
       " '恰好',\n",
       " '恰如',\n",
       " '恰巧',\n",
       " '恰恰',\n",
       " '恰恰相反',\n",
       " '恰逢',\n",
       " '您',\n",
       " '您们',\n",
       " '您是',\n",
       " '惟其',\n",
       " '惯常',\n",
       " '意思',\n",
       " '愤然',\n",
       " '愿意',\n",
       " '慢说',\n",
       " '成为',\n",
       " '成年',\n",
       " '成年累月',\n",
       " '成心',\n",
       " '我',\n",
       " '我们',\n",
       " '我是',\n",
       " '我的',\n",
       " '或',\n",
       " '或则',\n",
       " '或多或少',\n",
       " '或是',\n",
       " '或曰',\n",
       " '或者',\n",
       " '或许',\n",
       " '战斗',\n",
       " '截然',\n",
       " '截至',\n",
       " '所',\n",
       " '所以',\n",
       " '所在',\n",
       " '所幸',\n",
       " '所有',\n",
       " '所谓',\n",
       " '才',\n",
       " '才能',\n",
       " '扑通',\n",
       " '打',\n",
       " '打从',\n",
       " '打开天窗说亮话',\n",
       " '扩大',\n",
       " '把',\n",
       " '抑或',\n",
       " '抽冷子',\n",
       " '拦腰',\n",
       " '拿',\n",
       " '按',\n",
       " '按时',\n",
       " '按期',\n",
       " '按照',\n",
       " '按理',\n",
       " '按说',\n",
       " '挨个',\n",
       " '挨家挨户',\n",
       " '挨次',\n",
       " '挨着',\n",
       " '挨门挨户',\n",
       " '挨门逐户',\n",
       " '换句话说',\n",
       " '换言之',\n",
       " '据',\n",
       " '据实',\n",
       " '据悉',\n",
       " '据我所知',\n",
       " '据此',\n",
       " '据称',\n",
       " '据说',\n",
       " '掌握',\n",
       " '接下来',\n",
       " '接着',\n",
       " '接著',\n",
       " '接连不断',\n",
       " ...]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stopwords"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cut(content, stopwords):\n",
    "    segs_words = jieba.cut(content)\n",
    "    filters = []\n",
    "    for word in segs_words:\n",
    "        if word not in stopwords:\n",
    "            filters.append(word)\n",
    "        else:\n",
    "            filters = segs_words\n",
    "    return \" \".join(filters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = data.loc[:, 'content']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...\n",
       "1        骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...\n",
       "2        此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...\n",
       "3          这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n\n",
       "4        （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...\n",
       "5        　　受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...\n",
       "6        虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...\n",
       "7        　　沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...\n",
       "8        （原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...\n",
       "9        　　6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...\n",
       "10       　　证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...\n",
       "11       ?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...\n",
       "12       中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...\n",
       "13       　　曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...\n",
       "14       6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC...\n",
       "15       　　中国证券网讯（记者 费天元）沪深两市周五临近午盘出现快速跳水，沪指连续跌穿5日、10日及...\n",
       "16       九成以上的源包用逐位对应的方式构建，未来版本的 Debian 还将提供验证包的工具和元数据；...\n",
       "17       国歌法草案首次提请最高立法机关审议\\r\\n点击图片进入下一页\\r\\n新闻：十二届全国人大常委...\n",
       "18       　　中证网讯 （本报记者 张怡）今日，三板做市指数继续低开下行，盘中最低触及1057.91点...\n",
       "19       　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...\n",
       "20       　　原标题：叙利亚被“袭机”事件惹怒俄罗斯 警告将瞄准美战机\\r\\n　　海外网6月19日电 ...\n",
       "21       　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...\n",
       "22       就在这几天，一位微博名为“摩卡 RQ ”的手机、芯片、移动互联网三界知名独立评论人爆料称，O...\n",
       "23       　　中证网讯 （本报记者 张怡）与此前两日蓝筹股强势格局不同，周五，A股市场主要指数低开之后...\n",
       "24       北京时间6月20日，江苏苏宁足球俱乐部发布了足协杯第四轮江苏苏宁易购队主场对阵河南建业队的官...\n",
       "25       当地时间2017年6月17日，土耳其马尼萨省，在土耳其第1步兵训练大队司令部军营，590名土...\n",
       "26       今年3月份，王劲从百度自动驾驶事业部任上离职，随后创办景驰科技。在随后的日子里，景驰很快组建...\n",
       "27       英国与欧盟的“脱欧”谈判于19日正式开始。然而此时，英国首相特雷莎·梅正面临着空前的政治压力...\n",
       "28       中超联赛第13轮比赛已经全部结束，这轮比赛中最让人觉得结果有些出乎意料的，莫过于卡佩罗执教江...\n",
       "29       　　文章导读： 供应商围堵追债、20多位高管离职、上千人被裁员、孤注一掷史上最大规模的降价…...\n",
       "                               ...                        \n",
       "89581    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89582    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89583    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89584    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89585    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89586    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89587    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89588    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89589    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...\n",
       "89590    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89591    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...\n",
       "89592    \\n\\n2017年4月27日，在首尔光化门广场，民众在集会上手举反“萨德”标语。（新华社记者...\n",
       "89593    \\n新华社巴格达6月6日电（记者魏玉栋　程帅朋）伊拉克西部安巴尔省一处市场6日晚发生自杀式爆...\n",
       "89594    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89595    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89596    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89597    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89598    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89599    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89600    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89601    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89602    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89603    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...\n",
       "89604    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，清...\n",
       "89605    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...\n",
       "89606    新华社照片，多伦多，2017年6月7日\\n（体育）（2）冰球——国家女子冰球队海外选秀在多伦...\n",
       "89607    新华社兰州6月3日电（王衡、徐丹）记者从甘肃省交通运输厅获悉，甘肃近日集中开建高速公路、普通...\n",
       "89608    \\n\\n2017年5月29日，在法国巴黎郊外的凡尔赛宫，法国总统马克龙出席新闻发布会。（新华...\n",
       "89609    \\n\\n2017年5月25日，在美国马萨诸塞州剑桥市，哈佛大学毕业生在毕业典礼上欢呼。（新华...\n",
       "89610    　　新华社德国杜塞尔多夫６月６日电题：乒乓女球迷　\\n　　新华社记者王子江、张寒\\n　　熊老...\n",
       "Name: content, Length: 89611, dtype: object"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...\n",
       "1        骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...\n",
       "2        此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...\n",
       "3          这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n\n",
       "4        （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...\n",
       "5        　　受到A股被纳入MSCI指数的利好消息刺激，A股市场从周三开始再度上演龙马行情，周四上午金...\n",
       "6        虽然至今夏普智能手机在市场上无法排得上号，已经完全没落，并于 2013 年退出中国市场，但是...\n",
       "7        　　沙漠雄鹰：震荡有利消化套牢筹码\\r\\n　　周四开盘上证50在银行券商大蓝筹带动下一度涨近...\n",
       "8        （原标题：武汉警方一下子抓了808人，还都是俊男靓女！原来他们每天偷偷摸摸干这事！）\\r\\n...\n",
       "9        　　6月21日，A股纳入MSCI指数尘埃落定，但当天被寄予厚望的券商股并未扛起反弹大旗。22...\n",
       "10       　　证券时报网（www.stcn.com）06月23日讯\\r\\n　　据上证报道，6月初以来，...\n",
       "11       ?\\r\\n　　巨丰早评：市场将再次探底\\r\\n　　【巨丰观点】\\r\\n　　周四大盘冲高回落，...\n",
       "12       中新网6月19日电 据外媒报道，美国底特律一名男子1976年因为一根头发被定谋杀罪，监禁41...\n",
       "13       　　曹先生：风格转换前的阵痛\\r\\n　　今日早盘两地低开，之后一度震荡走高，领涨的仍然是上证...\n",
       "14       6月21日，MSCI在官网发布公告称，从明年6月起将中国A股纳入MSCI新兴市场指数和MSC...\n",
       "15       　　中国证券网讯（记者 费天元）沪深两市周五临近午盘出现快速跳水，沪指连续跌穿5日、10日及...\n",
       "16       九成以上的源包用逐位对应的方式构建，未来版本的 Debian 还将提供验证包的工具和元数据；...\n",
       "17       国歌法草案首次提请最高立法机关审议\\r\\n点击图片进入下一页\\r\\n新闻：十二届全国人大常委...\n",
       "18       　　中证网讯 （本报记者 张怡）今日，三板做市指数继续低开下行，盘中最低触及1057.91点...\n",
       "19       　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...\n",
       "20       　　原标题：叙利亚被“袭机”事件惹怒俄罗斯 警告将瞄准美战机\\r\\n　　海外网6月19日电 ...\n",
       "21       　　提示声明：\\r\\n　　本文涉及的行业及个股分析来源于券商研究报告，仅为分析人士对该行业及...\n",
       "22       就在这几天，一位微博名为“摩卡 RQ ”的手机、芯片、移动互联网三界知名独立评论人爆料称，O...\n",
       "23       　　中证网讯 （本报记者 张怡）与此前两日蓝筹股强势格局不同，周五，A股市场主要指数低开之后...\n",
       "24       北京时间6月20日，江苏苏宁足球俱乐部发布了足协杯第四轮江苏苏宁易购队主场对阵河南建业队的官...\n",
       "25       当地时间2017年6月17日，土耳其马尼萨省，在土耳其第1步兵训练大队司令部军营，590名土...\n",
       "26       今年3月份，王劲从百度自动驾驶事业部任上离职，随后创办景驰科技。在随后的日子里，景驰很快组建...\n",
       "27       英国与欧盟的“脱欧”谈判于19日正式开始。然而此时，英国首相特雷莎·梅正面临着空前的政治压力...\n",
       "28       中超联赛第13轮比赛已经全部结束，这轮比赛中最让人觉得结果有些出乎意料的，莫过于卡佩罗执教江...\n",
       "29       　　文章导读： 供应商围堵追债、20多位高管离职、上千人被裁员、孤注一掷史上最大规模的降价…...\n",
       "                               ...                        \n",
       "89581    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89582    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89583    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89584    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89585    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89586    新华社照片，外代，2017年6月7日\\n（外代二线）足球——世预赛：葡萄牙备战\\n6月6日，...\n",
       "89587    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89588    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89589    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...\n",
       "89590    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n6月6日，在印度特里普拉邦特...\n",
       "89591    新华社照片，外代，2017年6月7日\\n（外代二线）蚕丝生产\\n5月30日，在印度特里普拉邦...\n",
       "89592    \\n\\n2017年4月27日，在首尔光化门广场，民众在集会上手举反“萨德”标语。（新华社记者...\n",
       "89593    \\n新华社巴格达6月6日电（记者魏玉栋　程帅朋）伊拉克西部安巴尔省一处市场6日晚发生自杀式爆...\n",
       "89594    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89595    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89596    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89597    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89598    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89599    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89600    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89601    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89602    新华社照片，外代，2017年6月7日\\n（外代二线）足球——国际友谊赛：德国平丹麦\\n6月6...\n",
       "89603    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...\n",
       "89604    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，清...\n",
       "89605    新华社照片，北京，2017年6月7日\\n电影《血战湘江》举行清华大学巡映活动\\n6月6日，电...\n",
       "89606    新华社照片，多伦多，2017年6月7日\\n（体育）（2）冰球——国家女子冰球队海外选秀在多伦...\n",
       "89607    新华社兰州6月3日电（王衡、徐丹）记者从甘肃省交通运输厅获悉，甘肃近日集中开建高速公路、普通...\n",
       "89608    \\n\\n2017年5月29日，在法国巴黎郊外的凡尔赛宫，法国总统马克龙出席新闻发布会。（新华...\n",
       "89609    \\n\\n2017年5月25日，在美国马萨诸塞州剑桥市，哈佛大学毕业生在毕业典礼上欢呼。（新华...\n",
       "89610    　　新华社德国杜塞尔多夫６月６日电题：乒乓女球迷　\\n　　新华社记者王子江、张寒\\n　　熊老...\n",
       "Name: content, Length: 89611, dtype: object"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"content\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'generator' object has no attribute 'append'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-153-1de4063bea82>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcut\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"朝鲜半岛西北部古元古代高温变质-深熔作用:宏观和微观岩石学以及锆石U-Pb年代学制约\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-132-1369eefec6c9>\u001b[0m in \u001b[0;36mcut\u001b[0;34m(content, stopwords)\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msegs_words\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m             \u001b[0mfilters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mword\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m             \u001b[0mfilters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msegs_words\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'generator' object has no attribute 'append'"
     ]
    }
   ],
   "source": [
    "cut(\"朝鲜半岛西北部古元古代高温变质-深熔作用:宏观和微观岩石学以及锆石U-Pb年代学制约\", stopwords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cut_it(content, stopwords=None):\n",
    "    words = jieba.cut(content)\n",
    "    # 过滤停用词\n",
    "    if stopwords:\n",
    "        print(\"here\")\n",
    "        filter_words = [word for word in words if word not in stopwords]\n",
    "    else:\n",
    "        filter_words = words\n",
    "    return \" \".join(filter_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "# content内容进行替换\n",
    "def clean(data, stopwords):\n",
    "    data['content'] = data['content'].apply(cut_it, stopwords=stopwords)\n",
    "    return data\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
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      "here\n",
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      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n",
      "here\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'float' object has no attribute 'decode'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-149-3b248ab95a5e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mclean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-148-bee830228931>\u001b[0m in \u001b[0;36mclean\u001b[0;34m(data, stopwords)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# content内容进行替换\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mclean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'content'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'content'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcut_it\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, func, convert_dtype, args, **kwds)\u001b[0m\n\u001b[1;32m   3589\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3590\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3591\u001b[0;31m                 \u001b[0mmapped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap_infer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconvert_dtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3592\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3593\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36mf\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m   3576\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mkwds\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0margs\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mufunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3577\u001b[0m             \u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3578\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3579\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3580\u001b[0m             \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-147-6855b7aa658d>\u001b[0m in \u001b[0;36mcut_it\u001b[0;34m(content, stopwords)\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"here\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m         \u001b[0mfilter_words\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mword\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mwords\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m         \u001b[0mfilter_words\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-147-6855b7aa658d>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"here\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m         \u001b[0mfilter_words\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mword\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mwords\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m         \u001b[0mfilter_words\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/jieba/__init__.py\u001b[0m in \u001b[0;36mcut\u001b[0;34m(self, sentence, cut_all, HMM, use_paddle)\u001b[0m\n\u001b[1;32m    288\u001b[0m             \u001b[0mimport_paddle_check\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimport_paddle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    289\u001b[0m             \u001b[0mis_paddle_installed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcheck_paddle_install\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 290\u001b[0;31m         \u001b[0msentence\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstrdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msentence\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    291\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0muse_paddle\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mTrue\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mis_paddle_installed\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mTrue\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mimport_paddle_check\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0msentence\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0msentence\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"\"\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0msentence\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34mu\"\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/jieba/_compat.py\u001b[0m in \u001b[0;36mstrdecode\u001b[0;34m(sentence)\u001b[0m\n\u001b[1;32m     60\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msentence\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtext_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 62\u001b[0;31m             \u001b[0msentence\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msentence\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'utf-8'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     63\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mUnicodeDecodeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m             \u001b[0msentence\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msentence\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'gbk'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ignore'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'float' object has no attribute 'decode'"
     ]
    }
   ],
   "source": [
    "clean(data,stopwords)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### data.groupby\n",
    "聚合，分组级运算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parallel_apply(data, func, stopwords):\n",
    "    groups = data.groupby(data.index)\n",
    "    results = Parallel(n_jobs=4)(delayed(func)(group, stopwords) for n, group in groups)\n",
    "    return pd.concat(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'float' object has no attribute 'decode'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31m_RemoteTraceback\u001b[0m                          Traceback (most recent call last)",
      "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/joblib/externals/loky/process_executor.py\", line 418, in _process_worker\n    r = call_item()\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/joblib/externals/loky/process_executor.py\", line 272, in __call__\n    return self.fn(*self.args, **self.kwargs)\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/joblib/_parallel_backends.py\", line 608, in __call__\n    return self.func(*args, **kwargs)\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/joblib/parallel.py\", line 256, in __call__\n    for func, args, kwargs in self.items]\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/joblib/parallel.py\", line 256, in <listcomp>\n    for func, args, kwargs in self.items]\n  File \"<ipython-input-148-bee830228931>\", line 3, in clean\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/pandas/core/series.py\", line 3591, in apply\n    mapped = lib.map_infer(values, f, convert=convert_dtype)\n  File \"pandas/_libs/lib.pyx\", line 2217, in pandas._libs.lib.map_infer\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/pandas/core/series.py\", line 3578, in f\n    return func(x, *args, **kwds)\n  File \"<ipython-input-147-6855b7aa658d>\", line 9, in cut_it\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/jieba/__init__.py\", line 290, in cut\n    sentence = strdecode(sentence)\n  File \"/Users/stone/anaconda3/lib/python3.7/site-packages/jieba/_compat.py\", line 62, in strdecode\n    sentence = sentence.decode('utf-8')\nAttributeError: 'float' object has no attribute 'decode'\n\"\"\"",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-151-7e06b047fcec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# 分词多线程时间\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparallel_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclean\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0me\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mdiff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0me\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-150-24cdad5e3b1b>\u001b[0m in \u001b[0;36mparallel_apply\u001b[0;34m(data, func, stopwords)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparallel_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0mgroups\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mParallel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_jobs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgroups\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, iterable)\u001b[0m\n\u001b[1;32m   1015\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1016\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieval_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1017\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1018\u001b[0m             \u001b[0;31m# Make sure that we get a last message telling us we are done\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1019\u001b[0m             \u001b[0melapsed_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/joblib/parallel.py\u001b[0m in \u001b[0;36mretrieve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    907\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    908\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'supports_timeout'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 909\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    910\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    911\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/joblib/_parallel_backends.py\u001b[0m in \u001b[0;36mwrap_future_result\u001b[0;34m(future, timeout)\u001b[0m\n\u001b[1;32m    560\u001b[0m         AsyncResults.get from multiprocessing.\"\"\"\n\u001b[1;32m    561\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 562\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    563\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mLokyTimeoutError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    564\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mTimeoutError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/concurrent/futures/_base.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    423\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mCancelledError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    424\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_state\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mFINISHED\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 425\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    426\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    427\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_condition\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/concurrent/futures/_base.py\u001b[0m in \u001b[0;36m__get_result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    382\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__get_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    383\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 384\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    385\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    386\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'float' object has no attribute 'decode'"
     ]
    }
   ],
   "source": [
    "# 分词多线程时间\n",
    "s = time.time()\n",
    "data = parallel_apply(data, clean, stopwords=None)\n",
    "e = time.time()\n",
    "diff = e - s\n",
    "print(\"%.2f seconds cost for word cutting\" % diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>content</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>（原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                            content\n",
       "0      0  此外，自本周（6月12日）起，除小米手机6等15款机型外，其余机型已暂停更新发布（含开发版/...\n",
       "1      0  骁龙835作为唯一通过Windows 10桌面平台认证的ARM处理器，高通强调，不会因为只考...\n",
       "2      0  此前的一加3T搭载的是3400mAh电池，DashCharge快充规格为5V/4A。\\r\\n...\n",
       "3      1    这是6月18日在葡萄牙中部大佩德罗冈地区拍摄的被森林大火烧毁的汽车。新华社记者张立云摄\\r\\n\n",
       "4      0  （原标题：44岁女子跑深圳约会网友被拒，暴雨中裸身奔走……）\\r\\n@深圳交警微博称：昨日清..."
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv(\"processed_data.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 查找出所有特征标签\n",
    "# 提取出source字段的所有特征，并存储于\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### 2. Secondly,  pick a machine learning algorithm that you think is suitable for this task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Congratulations! You have completed all assignments in this week. The question below is optional. If you still have time, why don't try it out."
   ]
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   "metadata": {},
   "source": [
    "## Option:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Try differnt machine learning algorithms with different combinations of parameters in the practical part, and compare their performances (Better use some visualization techiniques)."
   ]
  }
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